Data/hora: 10/06/2024 07:38:08

Provedor de dados: 	Agricultural Engineering International : The CIGR e-journal	
País: 	China	
Título: 	VIS/NIR spectral signature for the Identification of Peanut Contamination of Powder Foods	
Autores: 	Ghosh, Satyabrata; Domínguez, Teresa R. Cuadrado; Diezma, Belén; Lleó, Lourdes; Barreiro, Pilar; Lacarra, Teresa García; Roger, Jean-Michel.	
Data: 	2015-06-23	
Ano: 	2015	
Palavras-chave: 	Adulterant; Food analysis; Food composition; Food quality; Allergen; PCA; Spectroscopy.	
Resumo: 	Visible-Near Infrared reflectance spectra are proposed for the characterization IRMM 481 peanuts in comparison to powder food materials: wheat flour, milk and cocoa. Multidimensional analysis of spectra of powder samples shows a specific NIR band centred at 1200 nm that identifies peanut compared to the rest of food ingredients, regardless compaction level and temperature. Spectral range 400-1000 nm is not robust for identification of blanched peanut. The visible range has shown to be reliable for the identification of pre-treatment and processing of unknown commercial peanut samples. A spectral index is proposed based on the combination of three wavelengths around 1200 nm that is 100% robust against pre-treatment (raw or blanched) and roasting (various temperatures and treatment duration).	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.cigrjournal.org/index.php/Ejounral/article/view/3216	
Editor: 	International Commission of Agricultural and Biosystems Engineering	
Relação: 	http://www.cigrjournal.org/index.php/Ejounral/article/view/3216/2128

http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/3216/1123	
Formato: 	application/pdf	
Fonte: 	Agricultural Engineering International: CIGR Journal; Vol 17, No 2 (2015): CIGR Journal

1682-1130